Appendix B: Luxembourg Research Institute Evaluation 2022: Mapping of Knowledge Structure: Department internal
Daniel S. Hain
23 August, 2022
1 Introduction: LIST Department ERIN
1.1 Purpose & Structure
This document provides additional analysis and visualizations regarding the Luxembourg Research Institute Evaluation 2022 of LIST Department ERIN. Its purpose is:
- To map the broader research community and distinct research field the department contributes to.
- Identify core knowledge bases, research areas gtrends and topics.
- Highlight the positioning of the department within this dynamics.
It is structured as follows:
- Topics: Further information regarding the departments research topics and their development
- Knowledge Bases: Further information regarding the departments knowledge bases and their development
- Research Areas: Further information regarding the departments research areas and their development
- KB-RA-TP interaction: Joint visualization of knowledge bases, research areas, and topics.
- Specialization: Departments research area and topic specialization compared to the broader research field.
- Collaboration: Co-Authorship networks to other research institutions.
- TEchnical description: Further guidance regarding concepts, methods, indicators, techniques, and workflows.
1.2 Further resources
This document and further factlitating information can be found online under:
- This document: https://daniel-hain.github.io/biblio_lux_2022/output/field_mapping/field_mapping_list_erin.html
- Mapping of broad research field: https://daniel-hain.github.io/field_mapping/biblio_lux_2022/output/field_mapping_dept_list_erin.html
- Interactive Topic Modelling: https://daniel-hain.github.io/biblio_lux_2022/output/topic_modelling/LDAviz_list_erin.rds/index.html#topic=1&lambda=0.60&term=
- The method for the research-field-mapping can be reviewed here: Rakas, M., & Hain, D. S. (2019). The state of innovation system research: What happens beneath the surface?. Research Policy, 48(9), 103787.
2 Topic modelling
2.1 Topic Development
Shows changes in topical focus of the department over time.
2.2 Topic Ranking
Shows changes in topical focus of the department over time (ranking).
## Topic Impact
Shows which topics where particularly impactful (cohort citation percentile) over time.
3 Knowledge Bases: Co-Citation network analysis
3.1 Knowledge Base development
Shows the development of citations to the knowledge bases by department publications.
4 Research Areas: Bibliographic coupling analysis
4.1 Research Area Development
Shows development of department publications in the research areas over time.
4.2 Research Area Similarity
Shows the similarity of the departments research areas ()by bibliographic coupling strenght).
5 Knowledge Bases, Research Areas & Topics Interaction
5.1 Joint Overview over Knowledge Bases, Research Areas, and Topics
This plot shows the connection of publications in the research areas to knowledge bases (by citations) and topics (by gamma, document-topic weight)
6 Trends
6.1 Lead-Lag Analysis
7 Collaboration
7.1 Collaboration network 2nd Degree
Shows overl collaboration (co-authorship) structure of the department.
8 Missing Publications
The bibliometric part of the 2022 research evaluation is based on Scopus data, one of the most comprehensive providers of academic publications. However, some potentially relevant scholarly output is not covered. Reasons might be that the publication outlet is not Scopus indexed. While most academic journals are, the coverage of bookchapters and conference proceedings is less exhaustive. In rare cases, errors in the database can also lead to underreporting.
To get an exhaustive overview covering all scholarly output, find below a breakdown of publications not matched with Scopus, and therefore not included in the overal evaluation.